Objective: To analyze the risk factors and construct a prediction model for aspiration pneumonia in patients with post-stroke dysphagia. Methods: A retrospective analysis was conducted on the clinical data of 308 elderly patients with post-stroke dysphagia who were hospitalized in Nanjing Central Hospital from March 2022 to March 2024. The patients were divided into an aspiration pneumonia group(n=73) and a non-aspiration pneumonia group(n=235) based on whether they developed aspiration pneumonia during their hospital stay. Univariate analysis was used to compare clinical risk factors between the two groups. Independent risk factors were further identified through multivariable Logistic regression analysis. Based on their regression coefficients, these factors were incorporated into the predictive model, and the model's predictive value was evaluated by plotting a ROC curve. Results: This study included 308 elderly patients who developed post-stroke dysphagia, with an incidence rate of aspiration pneumonia of 23.70%(73/308). Multivariate Logistic regression analysis showed that vomiting(OR=1.508, 95%CI:1.107-6.164), nasogastric tube placement(OR=1.317, 95%CI:1.057-4.681), improper positioning(OR=2.386, 95%CI:1.285-7.286), masticatory muscle paralysis(OR=2.012, 95%CI:1.149-6.815), prolonged bed rest(OR=2.764, 95%CI:1.328-7.863), lack of swallowing function training(OR=3.085, 95%CI:1.508-8.937), and NIHSS score>10(OR=3.886, 95%CI:1.559-10.693) were risk factors for aspiration pneumonia in elderly patients with post-stroke dysphagia. A risk prediction model was constructed based on these factors, with an area under the ROC curve of 0.809(95%CI:0.731-0.887), and sensitivity and specificity of 0.76 and 0.79, respectively. Conclusion: Vomiting, nasogastric tube placement, improper positioning, masticatory muscle paralysis, prolonged bed rest, lack of swallowing function training and a higher NIHSS score(>10) are independent risk factors for aspiration pneumonia in elderly patients with post-stroke dysphagia. The predictive model constructed based on these risk factors has a high predictive value, providing important reference for clinical caregivers to identify high-risk patients and develop personalized prevention and care strategies, helping to reduce the incidence of aspiration pneumonia and improve patient outcomes. |
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